A logistic regression model for health insurance purchasing prediction

Related tags

Machine LearningLogistic_Regression
Overview

Logistic_Regression_Model

A logistic regression model for health insurance purchasing prediction

  1. This code is using these packages, so please make sure your have installed them:

    a. numpy
    b. pandas (please use the latest version: 1.3.3, lower version may cause some error)
    c. matplotlib
    d. math

  2. If you found you have trouble with updating python or those packages, you can create anaconda environment to do so. Here is a link of the instruction to set up and use anaconda environment:

    https://stackoverflow.com/questions/28852841/install-anaconda-on-ubuntu-or-linux-via-command-line

    If use anaconda environment, you should use the following command to activate the anaconda environment:

    conda activate

  3. File description

    HealthInsurance_LR.py: The model file

    HealthInsurance_train.csv: The training set

    HealthInsurance_dev.csv: The validation set

    Competition_test.csv: The "real" data set, who has no correct prediction value

    Above are using files, so make sure to let them in the same directory, the code is using relative path.

    The rest of files are generated by the code.

Owner
ShawnWang
ShawnWang
GitHub Repository
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